lead-intelligence

Rank prospects by social signals and draft personalized outreach messages.

Updated Sep 13, 2025
One-click install
npx skills add https://github.com/llmh333/employee_management_spring --skill lead-intelligence-llmh333
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lead-intelligence
Source: https://github.com/llmh333/employee_management_spring/tree/main/.gemini/skills/lead-intelligence
Command: npx skills add https://github.com/llmh333/employee_management_spring --skill lead-intelligence-llmh333

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes agents (resource) components.

What problem does it solve?

It solves the problem of finding high-value leads and turning scattered social and web signals into actionable, personalized outreach paths without relying on generic databases or spammy templates.

Core Features & Use Cases

  • Signal Scoring: Ranks prospects using weighted evidence like role/title fit, industry match, recent topical activity, influence signals, location proximity, and engagement overlap.
  • Mutual Ranking + Warm Path Discovery: Identifies mutual connections and computes the most likely warm intro route from the user to each target.
  • Enrichment-Driven Outreach Drafting: Pulls recent person/company details and channel-appropriate context, then drafts outreach for email, LinkedIn, and X using a source-derived voice profile.
  • Use Case: Build a prioritized outreach list for partnerships or fundraising by selecting the best channel, writing channel-specific drafts, and requesting intros through the warmest mutuals.

Quick Start

Use lead-intelligence to find and rank the top people in a given industry and generate personalized warm intro requests and direct outreach drafts using signal scoring, mutual ranking, and enrichment.

Frequently Asked Questions about lead-intelligence

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How does signal scoring work for ranking B2B prospects?

Lead intelligence ranks prospects by analyzing weighted evidence like role fit, industry match, recent activity, and engagement overlap. It scores these signals to prioritize high-value targets, ensuring your outreach focuses on the most qualified candidates.

Do I need web search and X graph access for lead enrichment and prospect ranking?

Yes, you can draft personalized outreach across email, LinkedIn, and X. The skill pulls recent person and company details to generate channel-specific drafts using a source-derived voice profile, avoiding generic copy without sending messages automatically.

What is the best way to build a prioritized outreach list for fundraising?

Yes, lead enrichment requires Exa web search and X graph access to function properly. You can optionally connect LinkedIn, Apollo or Clay, GitHub, browser control, and Apple Mail to perform deeper enrichment and avoid generic outreach copy.

How do I generate warm introduction paths for high-value prospects?

The best way to build a fundraising list is using signal scoring to rank prospects, discovering warm intro paths through mutual connections, and generating channel-specific outreach drafts. This approach turns scattered social signals into actionable partnership paths.